Effect of Data Augmentation Techniques for Classification of Focal Liver Lesions Based on Deep Convolutional Neural Networks in Abdominal CT Images
Author:
Funder
서울여자대학교
Publisher
Korea Computer Graphics Society
Subject
General Medicine
Link
http://journal.cg-korea.org/download/download_pdf?doi=10.15701/kcgs.2023.29.2.1
Reference23 articles.
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3. G. Bengtsson, G. Carlsson, L. Hafström, and P. E. Jönsson, "Natural. history of patients with untreated liver metastases from colorectal cancer." The American Journal of Surgery, pp. 586-589, 1981. 10.1016/0002-9610(81)90057-X 7223955
4. M. Nino-Murcia, E.W. Olcott, R.B. Jeffrey, R.L. Lamm, C.F. Beaulieu, and K.A. Jain, “Focal liver lesions: pattern-based classification scheme for enhancement at arterial phase CT,” Radiology, 215, pp. 746-751, 2000. 10.1148/radiology.215.3.r00jn03746 10831693
5. C.C. Chang, H.H. Chen, Y.C. Chang, M.Y. Yang, C.M. Lo, W.C. Ko, Y.F. Lee, K.L. Liu, and R.F. Chang, “Computer-aided diagnosis of liver tumors on computed tomography images,” Comput Methods Prog Biomed, 145, pp. 45–51, 2017. 10.1016/j.cmpb.2017.04.008 28552125
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